package com.atguigu.gulimall.search.service.impl;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.TypeReference;
import com.atguigu.common.es.SkuEsModel;
import com.atguigu.common.utils.R;
import com.atguigu.gulimall.search.config.GulimallElasticSearchConfig;
import com.atguigu.gulimall.search.constant.EsConstant;
import com.atguigu.gulimall.search.feign.ProductFeignService;
import com.atguigu.gulimall.search.service.MallSearchService;
import com.atguigu.gulimall.search.vo.AttrResponseVo;
import com.atguigu.gulimall.search.vo.BrandVo;
import com.atguigu.gulimall.search.vo.SearchParam;
import com.atguigu.gulimall.search.vo.SearchResult;
import lombok.AllArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.apache.lucene.search.join.ScoreMode;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.NestedQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.nested.NestedAggregationBuilder;
import org.elasticsearch.search.aggregations.bucket.nested.ParsedNested;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedLongTerms;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedStringTerms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.util.StringUtils;

import java.io.IOException;
import java.io.UnsupportedEncodingException;
import java.net.URLEncoder;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;

/**
 * 
 * @ClassName MallSearchServiceImpl
 * @Description es检索服务
 * @Author xufb
 * @Date 2023/7/14 15:17:12
 * @Version 1.0
 */
@Service
@Slf4j
@AllArgsConstructor
public class MallSearchServiceImpl implements MallSearchService {
    @Autowired
    private RestHighLevelClient client;
    private final ProductFeignService productFeignService;
    /*去es中进行检索*/
    @Override
    public SearchResult search(SearchParam param) {
        // 动态构建出查询需要DSL语句
        SearchResult searchResult = null;
        // 1.准备检索请求
        SearchRequest searchRequest = bulidSearchRequest(param);
        try {
            // 2.执行检索请求
            SearchResponse searchResponse = client.search(searchRequest, GulimallElasticSearchConfig.COMMON_OPTIONS);
            // 3.分析相应数据封装成我们需要的格式
            searchResult = buildSearchResulit(searchResponse, param);
        } catch (IOException e) {
            e.printStackTrace();
        }
        return searchResult;
    }
    //    分析相应数据封装成我们需要的格式
    private SearchResult buildSearchResulit(SearchResponse response, SearchParam param) {
        SearchResult result = new SearchResult();

        //1、返回的所有查询到的商品
        SearchHits hits = response.getHits();
        //遍历所有商品信息
        List<SkuEsModel> esModels = new ArrayList<>();
        if (hits.getHits() != null && hits.getHits().length > 0) {
            for (SearchHit hit : hits.getHits()) {
                String sourceAsString = hit.getSourceAsString();
                SkuEsModel esModel = JSON.parseObject(sourceAsString, SkuEsModel.class);

                //判断是否按关键字检索(代表有关键字），若是就显示高亮，否则不显示
                if (!StringUtils.isEmpty(param.getKeyword())) {
                    //拿到高亮信息显示标题
                    HighlightField skuTitle = hit.getHighlightFields().get("skuTitle");
                    String skuTitleValue = skuTitle.getFragments()[0].string();
                    esModel.setSkuTitle(skuTitleValue);
                }
                esModels.add(esModel);
            }
        }
        result.setProduct(esModels);

        //2、当前商品涉及到的所有属性信息
        List<SearchResult.AttrVo> attrVos = new ArrayList<>();
        //获取属性信息的聚合
        ParsedNested attrsAgg = response.getAggregations().get("attr_agg");
        ParsedLongTerms attrIdAgg = attrsAgg.getAggregations().get("attr_id_agg");
        for (Terms.Bucket bucket : attrIdAgg.getBuckets()) {
            SearchResult.AttrVo attrVo = new SearchResult.AttrVo();
            //1、得到属性的id
            long attrId = bucket.getKeyAsNumber().longValue();
            attrVo.setAttrId(attrId);

            //2、得到属性的名字
            ParsedStringTerms attrNameAgg = bucket.getAggregations().get("attr_name_agg");
            String attrName = attrNameAgg.getBuckets().get(0).getKeyAsString();
            attrVo.setAttrName(attrName);

            //3、得到属性的所有值
            ParsedStringTerms attrValueAgg = bucket.getAggregations().get("attr_value_agg");
            List<String> attrValues = attrValueAgg.getBuckets().stream().map(item -> item.getKeyAsString()).collect(Collectors.toList());
            attrVo.setAttrValue(attrValues);

            attrVos.add(attrVo);
        }
        result.setAttrs(attrVos);

        //3、当前商品涉及到的所有品牌信息
        List<SearchResult.BrandVo> brandVos = new ArrayList<>();
        //获取到品牌的聚合
        ParsedLongTerms brandAgg = response.getAggregations().get("brand_agg");
        for (Terms.Bucket bucket : brandAgg.getBuckets()) {
            SearchResult.BrandVo brandVo = new SearchResult.BrandVo();

            //1、得到品牌的id
            long brandId = bucket.getKeyAsNumber().longValue();
            brandVo.setBrandId(brandId);

            //2、得到品牌的名字
            ParsedStringTerms brandNameAgg = bucket.getAggregations().get("brand_name_agg");
            String brandName = brandNameAgg.getBuckets().get(0).getKeyAsString();
            brandVo.setBrandName(brandName);

            //3、得到品牌的图片
            ParsedStringTerms brandImgAgg = bucket.getAggregations().get("brand_img_agg");
            String brandImg = brandImgAgg.getBuckets().get(0).getKeyAsString();
            brandVo.setBrandImg(brandImg);

            brandVos.add(brandVo);
        }
        result.setBrands(brandVos);

        //4、当前商品涉及到的所有分类信息
        //获取到分类的聚合
        List<SearchResult.CatalogVo> catalogVos = new ArrayList<>();
        ParsedLongTerms catalogAgg = response.getAggregations().get("catalog_agg");
        String catalogName = null;// 面包屑map数据源【分类】
        for (Terms.Bucket bucket : catalogAgg.getBuckets()) {
            SearchResult.CatalogVo catalogVo = new SearchResult.CatalogVo();
            //得到分类id
            String keyAsString = bucket.getKeyAsString();
            catalogVo.setCatalogId(Long.parseLong(keyAsString));
            //得到分类名
            ParsedStringTerms catalogNameAgg = bucket.getAggregations().get("catalog_name_agg");// 子聚合
            catalogVo.setCatalogName(catalogNameAgg.getBuckets().get(0).getKeyAsString());
            catalogVos.add(catalogVo);
            // 构建面包屑数据源
            if (catalogVo.getCatalogId().equals(param.getCatalog3Id())) {
                catalogName = catalogVo.getCatalogName();
            }
        }
        result.setCatalogs(catalogVos);

        //===============以上可以从聚合信息中获取====================//
        //5、分页信息-页码
        result.setPageNum(param.getPageNum());
        //5、1分页信息、总记录数
        long total = hits.getTotalHits().value;
        result.setTotal(total);
        //5、2分页信息-总页码-计算
        int totalPages = (int)total % EsConstant.PRODUCT_PAGESIZE == 0 ?
                (int)total / EsConstant.PRODUCT_PAGESIZE : ((int)(total / EsConstant.PRODUCT_PAGESIZE) + 1);
        result.setTotalPages(totalPages);
        // 5.3 当前页码（第几页）
        List<Integer> pageNavs = new ArrayList<>();
        for (int i = 1; i <= totalPages; i++) {
            pageNavs.add(i);
        }
        result.setPageNavs(pageNavs);

        // 6.构建面包屑导航功能_属性
        if (param.getAttrs() != null && !param.getAttrs().isEmpty()) {
            List<SearchResult.NavVo> navVos = param.getAttrs().stream().map((value) -> {
                // 分析每个传过来的attr的查询参数值
                SearchResult.NavVo navVo = new SearchResult.NavVo();
                // value = 2_5寸:6寸
                String[] split = value.split("_");
                navVo.setNavValue(split[1]);
                R r = productFeignService.attrInfo(Long.parseLong(split[0]));
                if(r.getCode() == 0) {
                    AttrResponseVo attrData = r.getData("attr", new TypeReference<AttrResponseVo>() {
                    });
                    navVo.setNavName(attrData.getAttrName());
                }else{
                    navVo.setNavName(split[0]);
                }
                //2、取消了这个面包屑以后，我们要跳转到哪个地方，将请求的地址url里面的当前置空
                //拿到所有的查询条件，去掉当前
                String replace = replaceQueryString(param, value, "attrs");
                navVo.setLink("http://search.gulimall.com/list.html?" + replace);
                return navVo;
            }).collect(Collectors.toList());

            result.setNavs(navVos);
        }
        // 品牌
        if(param.getBrandId() != null && !param.getBrandId().isEmpty()) {
            List<SearchResult.NavVo> navs = result.getNavs();
            // 多个品牌ID封装成一级面包屑，所以这里只需要一个NavVo
            SearchResult.NavVo navVo = new SearchResult.NavVo();
            // 面包屑名称直接使用品牌
            navVo.setNavName("品牌");
            // 远程调用查询所有品牌
            R r = productFeignService.brandsInfos(param.getBrandId());
            if(r.getCode() == 0){
                List<BrandVo> brand = r.getData("brand", new TypeReference<List<BrandVo>>() {});
                StringBuffer buffer = new StringBuffer();
                String replace = "";
                for (BrandVo brandVo : brand) {
                    // 多个brandId筛选条件汇总为一级面包屑，所以navValue拼接所有品牌名
                    buffer.append(brandVo.getBrandName()).append(";");
                    // 因为多个brandId汇总为一级面包屑，所以每一个brandId筛选条件都要删除
                    replace = replaceQueryString(param, brandVo.getBrandId() + "", "brandId");
                }
                navVo.setNavValue(buffer.toString());// 品牌拼接值
                navVo.setLink("http://search.gulimall.com/list.html?" + replace);// 回退品牌面包屑等于删除所有品牌条件
            }

            navs.add(navVo);
        }
        // 构建面包屑导航数据_分类
        if (param.getCatalog3Id() != null) {
            List<SearchResult.NavVo> navs = result.getNavs();
            SearchResult.NavVo nav = new SearchResult.NavVo();
            nav.setNavName("分类");
            nav.setNavValue(catalogName);// 分类名
            StringBuffer buffer = new StringBuffer();
//            String replace = replaceQueryString(param, "catalog3Id", param.getCatalog3Id().toString());
//            nav.setLink("http://search.gulimall.com/list.html?" + replace);
            navs.add(nav);
        }

        return result;
    }

    /**
     *
     * @param param 查询参数
     * @param value 要替换的值
     * @param key 要替换的key
     * @return
     */
    private static String replaceQueryString(SearchParam param, String value, String key) {
        // 解决编码问题，前端参数使用UTF-8编码了
        String encode = null;
        try {
            encode = URLEncoder.encode(value,"UTF-8");// java将空格转义成了+号
            encode.replace("+","%20");  //浏览器对空格的编码和Java不一样，差异化处理
        } catch (UnsupportedEncodingException e) {
            e.printStackTrace();
        }
        // 替换掉当前查询条件，剩下的查询条件即是回退地址
        return param.getQueryString().replace("&" + key + "=" + encode, "");
    }

    //    准备检索请求
    private SearchRequest bulidSearchRequest(SearchParam param) {
        /**
         * 模糊匹配，过滤（按照属性，分类，品牌，价格区间，库存）
         */
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder(); // 构建dsl语句

        BoolQueryBuilder boolQueryBuilder = new BoolQueryBuilder();
        //1.1 bool-must
        if(!StringUtils.isEmpty(param.getKeyword())){
            boolQueryBuilder.must(QueryBuilders.matchQuery("skuTitle",param.getKeyword()));
        }
        //1.2 bool-fiter
        //1.2.1 catelogId
        if(null != param.getCatalog3Id()){
            boolQueryBuilder.filter(QueryBuilders.termQuery("catalogId",param.getCatalog3Id()));
        }
        //1.2.2 brandId
        if(null != param.getBrandId() && !param.getBrandId().isEmpty()){
            boolQueryBuilder.filter(QueryBuilders.termsQuery("brandId",param.getBrandId()));
        }
        //1.2.3 attrs
        if(param.getAttrs() != null && !param.getAttrs().isEmpty()){
            param.getAttrs().forEach( (item) -> {
                //attrs=1_5寸:8寸&2_16G:8G
                BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
                String[] s = item.split("_");
                String attrId = s[0];
                String[] attrValues = s[1].split(":");//这个属性检索用的值
                boolQuery.must(QueryBuilders.termQuery("attrs.attrId",attrId));
                boolQuery.must(QueryBuilders.termsQuery("attrs.attrValue",attrValues));

                NestedQueryBuilder nestedQueryBuilder = QueryBuilders.nestedQuery("attrs", boolQuery, ScoreMode.None);
                boolQueryBuilder.filter(nestedQueryBuilder);
            });
        }
        //1.2.4 hasStock
        if(null != param.getHasStock()){
            boolQueryBuilder.filter(QueryBuilders.termQuery("hasStock",param.getHasStock() == 1));
        }
        //1.2.5 skuPrice
        if(!StringUtils.isEmpty(param.getSkuPrice())){
            RangeQueryBuilder rangeQueryBuilder = QueryBuilders.rangeQuery("skuPrice");
            String[] price = param.getSkuPrice().split("_");
            if(price.length==2){
                rangeQueryBuilder.gte(price[0]).lte(price[1]);
            }else if(price.length == 1){
                if(param.getSkuPrice().startsWith("_")){
                    rangeQueryBuilder.lte(price[1]);
                }
                if(param.getSkuPrice().endsWith("_")){
                    rangeQueryBuilder.gte(price[0]);
                }
            }
            boolQueryBuilder.filter(rangeQueryBuilder);
        }
        //封装所有的查询条件
        searchSourceBuilder.query(boolQueryBuilder);

        /**
         * 排序，分页，高亮
         */

        //排序
        // 形式为sort=hotScore_asc/desc
        if(!StringUtils.isEmpty(param.getSort())){
            String sort = param.getSort();
            String[] sortFileds = sort.split("_");

            SortOrder sortOrder="asc".equalsIgnoreCase(sortFileds[1]) ? SortOrder.ASC:SortOrder.DESC;

            searchSourceBuilder.sort(sortFileds[0],sortOrder);
        }
        //分页
        searchSourceBuilder.from((param.getPageNum()-1)*EsConstant.PRODUCT_PAGESIZE);
        searchSourceBuilder.size(EsConstant.PRODUCT_PAGESIZE);
        //高亮
        if(!StringUtils.isEmpty(param.getKeyword())){

            HighlightBuilder highlightBuilder = new HighlightBuilder();
            highlightBuilder.field("skuTitle");
            highlightBuilder.preTags("<b style='color:red'>");
            highlightBuilder.postTags("</b>");

            searchSourceBuilder.highlighter(highlightBuilder);
        }

        /**
         * 聚合分析
         */
        //1. 按照品牌进行聚合
        TermsAggregationBuilder brand_agg = AggregationBuilders.terms("brand_agg");
        brand_agg.field("brandId.keyword").size(50);
        //1.1 品牌的子聚合-品牌名聚合
        brand_agg.subAggregation(AggregationBuilders.terms("brand_name_agg")
                .field("brandName.keyword").size(1));
        //1.2 品牌的子聚合-品牌图片聚合
        brand_agg.subAggregation(AggregationBuilders.terms("brand_img_agg")
                .field("brandImg.keyword").size(1));
        searchSourceBuilder.aggregation(brand_agg);

        //2. 按照分类信息进行聚合
        TermsAggregationBuilder catalog_agg = AggregationBuilders.terms("catalog_agg");
        catalog_agg.field("catalogId.keyword").size(20);
        //2.1 子聚合
        catalog_agg.subAggregation(AggregationBuilders.terms("catalog_name_agg").field("catalogName.keyword").size(1));
        searchSourceBuilder.aggregation(catalog_agg);

        //3. 按照属性信息进行聚合
        NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");
        //3.1 按照属性ID进行聚合
        TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId.keyword");
        attr_agg.subAggregation(attr_id_agg);
        //3.1.1 在每个属性ID下，按照属性名进行聚合
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName.keyword").size(1));
        //3.1.1 在每个属性ID下，按照属性值进行聚合
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue.keyword").size(50));
        searchSourceBuilder.aggregation(attr_agg);

//        log.debug("构建的DSL语句 {}",searchSourceBuilder.toString());

        SearchRequest searchRequest = new SearchRequest(new String[]{EsConstant.PRODUCT_INDEX},searchSourceBuilder);

        return searchRequest;
    }
}
